Triple
T19572050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Road Trip |
E489740
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Tiffany Henderson
Tiffany Henderson is the central protagonist of the story "Road Trip," around whom the narrative’s events and character development revolve.
|
E1388288
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Tiffany Henderson | Statement: [Road Trip, mainCharacter, Tiffany Henderson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tiffany Henderson Context triple: [Road Trip, mainCharacter, Tiffany Henderson]
-
A.
Tiffany Cochran
Tiffany Cochran is the daughter of famed American attorney Johnnie Cochran and a television news anchor and media professional.
-
B.
Tiffany Burress
Tiffany Burress is best known as the wife of former NFL wide receiver Plaxico Burress.
-
C.
Tiffany Stewart
Tiffany Stewart is an American advertising executive and philanthropist best known as the wife of billionaire entrepreneur and Dallas Mavericks owner Mark Cuban.
-
D.
Melody Patterson
Melody Patterson was an American actress best known for her role as Wrangler Jane on the 1960s television series "F Troop."
-
E.
Amanda Freitag
Amanda Freitag is an American celebrity chef and television personality best known for her frequent judging appearances on Food Network cooking competition shows.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Tiffany Henderson Triple: [Road Trip, mainCharacter, Tiffany Henderson]
Generated description
Tiffany Henderson is the central protagonist of the story "Road Trip," around whom the narrative’s events and character development revolve.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tiffany Henderson Target entity description: Tiffany Henderson is the central protagonist of the story "Road Trip," around whom the narrative’s events and character development revolve.
-
A.
Tiffany Cochran
Tiffany Cochran is the daughter of famed American attorney Johnnie Cochran and a television news anchor and media professional.
-
B.
Tiffany Burress
Tiffany Burress is best known as the wife of former NFL wide receiver Plaxico Burress.
-
C.
Tiffany Stewart
Tiffany Stewart is an American advertising executive and philanthropist best known as the wife of billionaire entrepreneur and Dallas Mavericks owner Mark Cuban.
-
D.
Melody Patterson
Melody Patterson was an American actress best known for her role as Wrangler Jane on the 1960s television series "F Troop."
-
E.
Amanda Freitag
Amanda Freitag is an American celebrity chef and television personality best known for her frequent judging appearances on Food Network cooking competition shows.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8e8dd9374819098e36349b3211663 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6402103208190b80acdfa82b7a9c4 |
completed | April 20, 2026, 3:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a077ed6fdc08190ab8a5fb430318ca1 |
completed | May 15, 2026, 8:15 p.m. |
| NEDg | Description generation | batch_6a07809e04108190ac1cdc3c15dabe1c |
completed | May 15, 2026, 8:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0780f798888190847de6b2951d879b |
completed | May 15, 2026, 8:24 p.m. |
Created at: April 10, 2026, 1:42 p.m.